A hybrid quantum-classical neural network for learning to route

arXiv:2609.00489 · cs.LG, quant-ph · Submitted 2026-08-31 · Read on arXiv

cs.LG, quant-ph

Submitted: 2026-08-31

Updated: 2026-08-31

Comments: 5 pages. Submitted to the Congresso Brasileiro de Ciências e Tecnologias Quânticas (CBCTQ 2026)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Combinatorial Optimization — 6× in this paper · explained in 2 episodes
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Attention Mechanism — 3× in this paper · explained in 3 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Hybrid Model — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• QUBO Formulation — 1× in this paper · explained in 3 episodes
• Quantum Circuits — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 3 episodes

Sources

• Large Language Models as End-to-end Combinatorial Optimization Solvers
• Attention, Learn to Solve Routing Problems!
• Pointer Networks

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